How to Switch ATS Platforms Without Losing Your Data (or Your Sanity)
Most recruiting organizations don't switch ATS platforms just because the new one is exciting. They switch because the legacy platform stopped innovating, or because the service that came with it quietly got worse, slower support, longer waits, less attention than they used to get. And most firms wait a year longer than they should to do anything about it, because the idea of moving years of candidates, companies, and notes sounds like a nightmare.
It doesn't have to be. But it does have to be done in the right order.
The part everyone worries about isn't actually the hard part
Moving the data itself is mechanical. Export a file, map the fields, import it. The reason migrations go wrong isn't the technology, it's everything that happens around it: nobody checked whether the export actually included attachments, nobody set expectations about what data survives the trip, and the first time anyone really looks closely at the results is on a call with the customer, which turns a confirmation into a discovery session in real time.
What actually goes wrong, and why
A few patterns show up again and again with legacy systems, regardless of which one you're leaving:
Resumes and attachments go missing silently. Most exports separate the data (names, statuses, notes) from the files (resumes, documents). It's easy to grab one and forget the other, and nothing tells you it happened until someone asks where a resume went.
Historical statuses are often unreliable. Placement history and pipeline stages frequently don't export cleanly. If a firm says they've made 140 placements and the export shows one, the export is wrong, not the firm.
Only the most recent resume per candidate usually survives. Version history is typically the first casualty of any export.
Active and inactive state usually doesn't come across at all. Most exports arrive stateless. Someone has to decide, after the fact, which searches and candidates are actually live.
None of this means the migration failed. It means these are the normal costs of moving between systems, and a firm that hears about them in advance has a very different experience than a firm that discovers them mid-transition.
The order that actually works
The migrations that go smoothly all follow roughly the same shape:
Settle the decisions before anything moves. Which statuses map to what. Whether every company from the old system comes across, or just the ones tied to active work. Whether resumes are required or optional. Deciding this upfront turns a dozen small surprises into one conversation.
One underused way to make those decisions well: sit down with your old system before you leave it, and do a reverse demo. Walk through how your team actually uses it day to day, not how it was set up to be used years ago. It tends to surface which fields people genuinely rely on, which ones nobody's touched in years, and how candidates really flow through your process versus how the system assumes they do. That's exactly the information a good migration plan needs, and it's rarely written down anywhere.
Get a complete, correct export. Written instructions, not a verbal explanation, and an explicit list of every file that needs to come across, since most legacy platforms split attachments from data by default.
Load it somewhere safe first. Never straight into a live account. Load into a staging environment, count everything against the source file, and catch problems there instead of in front of the customer.
Confirm, don't discover. By the time a firm actually reviews their migrated data, every anomaly should already be found and have a proposed resolution attached. The review call should be a walkthrough, not a fire drill.
Go live, in writing. Confirm exactly what was loaded and what wasn't, so there's a clear record rather than a vague sense that "it's mostly there."
The upside hiding inside a switching cost
It's easy to treat a migration as pure overhead, the tax you pay to get to a better system. But moving your data is also the one moment you're forced to actually look at it. What fields do you track that nobody uses? What does your candidate pipeline actually look like versus what your old system assumed it looked like years ago? Firms that treat migration as a chance to rethink their process, not just relocate it, tend to come out the other side with something better than what they had, not just a copy of it in a new place.
What this actually costs
Migration work is real work, and it's usually priced separately from a platform's monthly subscription, TATracker included. What's worth asking any vendor is not just what migration costs, but who's actually doing it. If moving your data is treated as a scoped, deliberate project with a real process behind it, the price is doing something. If it's treated as a formality, the low price is usually a warning about what you'll be doing yourself later.
The bottom line
Switching systems is not the risk. Switching without a plan is. Every one of the problems above is well understood and avoidable, if the firm doing your migration has actually done this enough times to know where it usually breaks.
Frequently asked questions
Will I lose data when I switch ATS platforms?
Some loss is normal and expected, mainly resume version history and older status history that most legacy systems don't export cleanly. Contacts, companies, notes, and current pipeline data typically move across intact when the migration is planned properly. Ask your new vendor for a standard list of exactly which objects and fields they migrate before you start. A vendor who can hand you that list without hesitation has done this enough times to trust with your data. One who can't is asking you to find out the hard way.
How long does an ATS migration take?
It depends on data volume and how much cleanup the source data needs, but the biggest time factor is usually not technical. A lot of the timeline rests on your side: someone at the firm has to review and approve things like status mapping before the migration can move forward. That's usually fast when one or two people own the decision. It stretches out considerably when a lot of managers need to weigh in on every choice, too many cooks in the kitchen slows down approvals just as much as it slows down anything else.
Should I cancel my old ATS before or after migrating?
After. Keep the legacy system active until the new one is fully validated and live, so there's a fallback if anything needs to be re-pulled.
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